The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.

YOUR PROFILE

The candidate should possess a Master’s degree in Computer Science/engineering or Telecommunication Engineering.

What we’re looking for:

• A collaborative team player with a desire to make a personal impact within our interdisciplinary research group
• A motivated candidate who can work independently and efficiently and is proactive in solving problems.
• Self-initiative, creativity, curiosity, flexibility and enthusiasm to work

Knowledge and Experience:

The ideal candidate should have some knowledge and/or experience in one or several of the following areas:

• Different ML/AI/GenAI algorithms and architectures
• Linux environments
• Programming skills

The following qualifications of the applicant are a bonus:

• Cybersecurity
• AI security

Language Skills: Fluent written and verbal communication skills in English are required. Knowledge of either French, German or Luxembourgish will be appreciated but are not a requirement to apply.
Please note that, due to the specific requirements and constraints of the project, we are only able to consider applicants from NATO member countries or NATO partner nations

The SnT is seeking a Doctoral Researcher to support the research and development work within the SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan). We seek a candidate with expertise and/or interest in the following relevant fields: artificial intelligence and cybersecurity.
The candidate will have the opportunity to work on a collaborative project with a leading industry in cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners.
As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated into organizational workflows, they introduce new attack surfaces and vulnerabilities. Organizations often lack the tools to monitor and enforce policies governing access and usage, leaving them exposed to compliance violations and security risks. Challenges such as managing access rights, maintaining dynamic policy updates, and ensuring proper usage auditing are compounded by the evolving nature of AI technologies and associated threats.
The research project of the PhD student will thus focus on defining methods to track, monitor, and manage the use of GenAI. While this can rely on recentely proposed telemetry framework extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by AI agents themselves. The candidate will explore behavioural analysis techniques. Another research questions is related to the definition and application of a unified policy through both legacy IT systems and AI-based systems.
In addition, the candidate will be also involved in project reporting and dissemination and will participate to meetings with our partner. The project is an academic project oriented but applied research. It is a unique opportunity to develop new concepts with a close collaboration with industry.
During the PhD studies, the candidate will have the opportunity to participate and propose other projects within the group and so also develop his/her/their own research agenda. We are working on various topics related to applied ML and cyber-security, including applications and security of LLMs.
For further information, please contact us at jerome.francois@uni.lu and lama.sleem@uni.lu